Knowledge Engineering Manager

Overview

In this role you lead the design and delivery of Knowledge Graph and AI-powered solutions that reshape client data architectures. You work with cross-functional teams to build cohesive semantic layers and graph-based ML models, aligning technology with business value. You drive client relationships, craft business cases, and contribute to pre-sales and thought leadership. You’ll shape standards for ontologies and data architectures while exploring innovative methods and scalable implementations. This position offers impact across client engagements and the broader Data & AI offering.

Responsibilities

• Lead the development of Knowledge Graph solutions within the program scope
• Design, develop, and implement AI and semantic solutions ensuring interoperability
• Collaborate with project leaders and client stakeholders to deliver graph-powered offerings
• Build and maintain strong client relationships and earn advisor trust
• Formulate the business case for semantic layer solutions
• Contribute to Accenture’s sales and pre-sales efforts
• Provide thought leadership on technology trends, opportunities, and risks

Key requirements

• Bachelor’s degree or equivalent, plus 4+ of the following: Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Strong schema design, ontology management, and KG curation
• Experience designing and developing KG solutions and graph-based ML models
• End-to-end data pipeline experience for AI apps (notably LLMs), with hands-on design
• Solid knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases

• client relationship management
• thought leadership
• cross-functional collaboration
• Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Ontology design and KG curation
• Graph-based ML model design

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